Data Scientist, Applied Machine Learning - RNA

Here at Tempus we believe the greatest promise for the detection and treatment of cancer & other diseases lies in building a deep understanding of the interaction between molecular attributes and clinical treatment. With the advent of genomic sequencing, we can finally measure and process our genetic makeup. We now have more data than ever before, but providers often don't have the infrastructure or expertise required to easily extract the valuable insights that exist within this data.

This is a unique opportunity to expand your expertise in cancer genetics and have a direct impact on the fight against cancer. We're on a mission to redefine how genomic data is used in a clinical setting through precision medicine. We are looking for data scientists who are passionate about applying state of the art techniques to the processing and integrative analyses of vast amounts of clinical, molecular, and imaging data.

We are interested in a strong machine learning or statistics specialist with a strong genomics background, that is eager to learn about the recent advances in healthcare, and applying his or her skills to improve patient outcomes.

What You'll Do

Analyze and integrate large diverse clinical, molecular and imaging datasets to extract insights, and drive research opportunities.

Redefine patient cohorts for clinical and research insights.

Design and prototype novel analysis tools and algorithms.

Collaborate with product, science, engineering, and business development teams to build the most advanced data platform in precision medicine.

Interrogate analytical results for robustness, validity, and out of sample stability.

Document, summarize, and present your findings to a group of peers and stakeholders.